Programmable SC neural networks for solving nonlinear programming problems
Neural networks for the online solution of linear and nonlinear programming problems are presented. Adopting switched-capacitor (SC) techniques, the proposed circuits have the advantages of VLSI implementation and programmability. Simulation results show the stability and availability of the discret...
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Published in | 1990 IEEE International Symposium on Circuits and Systems (ISCAS) pp. 2837 - 2840 vol.4 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
1990
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Subjects | |
Online Access | Get full text |
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Summary: | Neural networks for the online solution of linear and nonlinear programming problems are presented. Adopting switched-capacitor (SC) techniques, the proposed circuits have the advantages of VLSI implementation and programmability. Simulation results show the stability and availability of the discrete-time neural network. The optimum solutions are obtained in near real time.< > |
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DOI: | 10.1109/ISCAS.1990.112601 |